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    <title>Atlas Labs — Lab Notes</title>
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    <description>Technical writing on production AI — evals, orchestration, data engineering, and the messy details that matter.</description>
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    <lastBuildDate>Tue, 26 May 2026 19:51:46 GMT</lastBuildDate>
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      <title><![CDATA[RAG in the real world: evals, drift, and data contracts]]></title>
      <link>https://atlas-labs.ai/lab-notes/rag-in-the-real-world</link>
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      <description><![CDATA[Building RAG systems that hold up in production requires more than good retrieval. Here's what actually breaks — and how to catch it early.]]></description>
      <pubDate>Tue, 10 Dec 2024 00:00:00 GMT</pubDate>
      <category>RAG</category>
      <category>Evals</category>
      <category>Data Contracts</category>
      <category>Production</category>
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      <title><![CDATA[Entity resolution for financial instruments: deterministic + probabilistic + LLM assist]]></title>
      <link>https://atlas-labs.ai/lab-notes/entity-resolution-financial-instruments</link>
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      <description><![CDATA[Financial data is full of the same entity described dozens of different ways. Here's a layered approach to resolving them reliably.]]></description>
      <pubDate>Fri, 22 Nov 2024 00:00:00 GMT</pubDate>
      <category>Entity Resolution</category>
      <category>Finance</category>
      <category>LLMs</category>
      <category>Data Engineering</category>
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      <title><![CDATA[Agent workflows that don't break: orchestration, guardrails, and observability]]></title>
      <link>https://atlas-labs.ai/lab-notes/agent-workflows-that-dont-break</link>
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      <description><![CDATA[Multi-agent systems are powerful and brittle. Here's the engineering discipline required to make them reliable in production.]]></description>
      <pubDate>Tue, 05 Nov 2024 00:00:00 GMT</pubDate>
      <category>Agents</category>
      <category>Orchestration</category>
      <category>Observability</category>
      <category>LLMs</category>
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